Mistral 7B Instruct V0.3 AWQ by Sharvin-UD

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors

Mistral 7B Instruct V0.3 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.3 AWQ (Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ)

Mistral 7B Instruct V0.3 AWQ Parameters and Internals

LLM NameMistral 7B Instruct V0.3 AWQ
Repository ๐Ÿค—https://huggingface.co/Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ 
Base Model(s)  HachiML/Mistral-7B-Instruct-v0.3-dpo-lora   HachiML/Mistral-7B-Instruct-v0.3-dpo-lora
Model Size7b
Required VRAM4.2 GB
Updated2024-12-22
MaintainerSharvin-UD
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ.

Rank the Mistral 7B Instruct V0.3 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217